Permutation-Free Cgmm: Complex Gaussian Mixture Model with Inverse Wishart Mixture Model Based Spatial Prior for Permutation-Free Source Separation and Source Counting

Juan Azcarreta, Nobutaka Ito, Shoko Araki, Tomohiro Nakatani. Permutation-Free Cgmm: Complex Gaussian Mixture Model with Inverse Wishart Mixture Model Based Spatial Prior for Permutation-Free Source Separation and Source Counting. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2018, Calgary, AB, Canada, April 15-20, 2018. pages 51-55, IEEE, 2018. [doi]

@inproceedings{AzcarretaIAN18,
  title = {Permutation-Free Cgmm: Complex Gaussian Mixture Model with Inverse Wishart Mixture Model Based Spatial Prior for Permutation-Free Source Separation and Source Counting},
  author = {Juan Azcarreta and Nobutaka Ito and Shoko Araki and Tomohiro Nakatani},
  year = {2018},
  doi = {10.1109/ICASSP.2018.8461934},
  url = {https://doi.org/10.1109/ICASSP.2018.8461934},
  researchr = {https://researchr.org/publication/AzcarretaIAN18},
  cites = {0},
  citedby = {0},
  pages = {51-55},
  booktitle = {2018 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2018, Calgary, AB, Canada, April 15-20, 2018},
  publisher = {IEEE},
  isbn = {978-1-5386-4658-8},
}